{"as_of":"2026-08-19T11:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57761a80a9bc4dd984b518f989595368dc4262593464516e2c6dda8afd985d55","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:40:48.593617Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T20:17:22.306816Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.12872","last_updated":"2021-12-23T22:44:21Z","snapshot_observed_at":"2026-08-16T17:32:13.698904Z","submitted_at":"2021-12-23T22:44:21Z","title":"Sparsified Secure Aggregation for Privacy-Preserving Federated Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.12872","snapshot_observed_at":"2026-08-15T20:40:48.593617Z","title":"U., and Guler, B","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12453","last_updated":"2025-06-07T14:39:22Z","snapshot_observed_at":"2026-08-18T00:54:32.586915Z","submitted_at":"2025-05-18T15:05:11Z","title":"SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T20:40:48.593617Z"},"links":{"cited_paper":"/paper/2112.12872","citing_paper":"/paper/2505.12453"},"observation_digest":"sha256:ed8190114c36e059cca42b4f084822ce5b1738818e40617b06d9ed936a476441","observation_id":"1d798377-3920-441f-b739-7d215f058706","resolution":{"observed_at":"2026-08-15T20:40:48.593617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.12872","last_updated":"2021-12-23T22:44:21Z","snapshot_observed_at":"2026-08-16T17:32:13.698904Z","submitted_at":"2021-12-23T22:44:21Z","title":"Sparsified Secure Aggregation for Privacy-Preserving Federated Learning","version":1},"cited_work":{"arxiv_id":"2112.12872","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.12872","snapshot_observed_at":"2026-07-02T20:17:22.306816Z","title":"Sparsified secure aggregation for privacy-preserving federated learning,","venue":null,"work_id":"f1c14bff-ac6b-4f25-9233-8f165245a9f2","year":2021},"citing_paper":{"arxiv_id":"2606.07277","last_updated":"2026-06-05T13:53:27Z","snapshot_observed_at":"2026-08-07T09:24:48.994909Z","submitted_at":"2026-06-05T13:53:27Z","title":"The Capacity of Information-Theoretic Secure Aggregation in Federated Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T20:37:58.641814Z"},"links":{"cited_paper":"/paper/2112.12872","citing_paper":"/paper/2606.07277"},"observation_digest":"sha256:b4455dc5c4376cc01bbb037c16d268ddef5c27717506af84a353f65fad190705","observation_id":"637e244c-f855-40c8-b748-1343fc1cf4df","resolution":{"observed_at":"2026-07-02T20:17:22.308220Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.12872/citation-record","integrity":"/paper/2112.12872/integrity","json":"/paper/2112.12872/citation-record.json","paper":"/paper/2112.12872"},"outbound":[],"paper":{"arxiv_id":"2112.12872","last_updated":"2021-12-23T22:44:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:32:13.698904Z","submitted_at":"2021-12-23T22:44:21Z","title":"Sparsified Secure Aggregation for Privacy-Preserving Federated Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.12872."}